Bibliographic record
Abstract
Land use and cover changes(LUCC) are not only one of the core issues of global change but also play a critical role in eco-environment construction,global environmental change and sustainable development.Land use and cover changes are the most prominent in the Shulehe River as a whole.Due to being located in an environmentally and regionally sensitive region,the Shulehe River has become a hot area regarding land use and cover change.In the present paper,the authors performed a study on LUCC over the Shulehe River,during the period 1990-2010 using Landsat TM images and GIS and Land-use Dynamic Degree techniques.In particular,the authors quantified changes in different kinds of land use types and analyzed their spatial variation trends and characteristics.Results are shown as follows.First,It was found that from 1990 to 2010,overall land use characteristics of the Shulehe River changed slightly,but the internal structure for each kind of land use types changed significantly.Unused land,Grassland and cultivated land were always major land use types during the 20 years,occupying approximately 98.22% of the total area,respectively.Second,from 1990 to 2010,most of land use changes occurred in cultivated land,built-up land and grassland,the velocities of land use changes were 13.60%,7.97%,7.68%,respectively.Third,LUCC is indeed a complex system,which is affected by many factors interrelated with each other,including both socio-economic and natural environment factors.Major driving forces for land use and cover change in the Shulehe River were probably considered policy and population growth.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".